Azure Pipeline is a cloud service that we can use to build and test our code project automatically. The Azure pipeline has a lot of capabilities such as continuous integration and continuous delivery to regularly and consistently test and builds our code and ship to any target.

There are three key distinct advantages of using Azure DevOps pipelines.

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Version control system: Azure Pipelines integrates with GitHub, GitHub Enterprise, Azure Repos Git & TFVC, Bitbucket Cloud, and Subversion.

Language and application types: We can use Azure Pipeline with most application types and languages, such as Java, JavaScript, Node.js, Python, .Net, C++, Go, PHP, and Xcode.

Deployment target: We can use Azure Pipelines to deploy our code to multiple targets. Targets include – container registries, virtual machines, Azure services, or any on-premises or cloud target.

Azure DevOps Pipeline concepts

Pipeline: It is a workflow that defines how our test, build, and deployment steps are run.
Stage: It is a logical boundary in the pipeline. It can be used to mark the separation of concerns. Each stage contains one or more jobs.
Job: A stage can contain one or more jobs. Each job runs on an agent. It represents an execution boundary of a set of steps.
Step: It is the smallest building block of a pipeline. It can either be a script or a task. A task is simply an already created script offered as a convenience to you.
Agent and Agent pools: An agent is an installable software that runs one job at a time. Instead of managing each agent individually, you organize agents into agent pools.
Artifact: It is a collection of files or packages published by a run. The Artifact is made available to subsequent tasks, such as distribution or deployment.
Trigger: It is something that is set up to tell the pipeline when to run. We can configure a pipeline to run upon a push to the repository, at scheduled times, etc.
Environment: It is a collection of resources, where you deploy your application. It contains one or more virtual machines, containers, web apps, etc.
Checks: Checks define a set of validations required before a deployment can be performed.
Runs: It represents a single execution of a pipeline and collects the logs associated with running the steps and the results of running tests.

Publish ARM deployment project into DevOps Repos and deploy using pipeline

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Step 1: Go into the Azure DevOps project and click on pipelines. After that, click on the New pipeline button.

Step 2: Now, Click on the “use the classic editor” link down below.

Step 3: Select the project and repository where you want to create the pipeline then click on Continue.

Step 4: Click on the Empty job link to create a job.

Step 5: Now, you need to add a task for building the activity. Click on the add button on the Agent job 1, then type-in resource group. Finally, click on the Azure Resource group deployment add button.

Step 6: Now, you need to select in which Azure subscription you want to deploy the infrastructure, into which resource group you want to deploy, and what you want to deploy in the form of JSON.

Step 7: Select the template from the repository.

Step 8: After that, select the parameters file.

Step 9: Finally, click on Save & Queue. The deployment will take some time.

Step 10: Now, you can see the build has been completed successfully.

So, this brings us to the end of blog. This Tecklearn ‘Azure DevOps Pipeline’ blog helps you with commonly asked questions if you are looking out for a job in Azure and Cloud Computing. If you wish to learn Microsoft Azure and build a career in Cloud Computing domain, then check out our interactive, Microsoft Azure Developer and Administrator Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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Why Should you take Azure Developer and Administrator Training?

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What you will Learn in this Course?

Introduction to Azure Compute Solutions and Cloud Computing

Introduction to Microsoft Azure
About Azure Certification

Overview of Azure Storage Services

Azure Storage
Azure File Use Case
Azure DNS
Azure Site Recovery

Secure and Manage Azure Storage

Security Issue
Azure Regions
Azure Services

Implementing Secure Data Solutions and Integrating Caching & CDN

Azure CDN
Azure Traffic Manager
Azure Load Balancer
Azure Scale Set

Implementing Azure App Service Web Apps and Mobile Apps

Design and Implement Azure Service Apps
Web Apps
Pricing Calculator – Azure

Managing Azure Subscriptions and Resource Groups

Create Resource Group
Create App Service Plan
Create Web App and Deploy Angular Application using SCM
Deploy .NET Application using SCM
Deploy App using Visual Studio
Web Job Types
Sendgrid

Develop Event-based and Message-based Solutions in Azure

Messaging Strategy
Design and implement Messaging Strategy
Azure Notifications
Microsoft Azure Service Bus
Queues
Topics
Create Topic
Create Subscription
Azure Relay
Using EventHubs

Implementing Azure App Service API Apps & Azure Functions

Azure PAAS Services
API Management
Function Apps
Logic Apps

Overview of Azure Virtual Machines and Configure Virtual Machines for High Availability

Virtual Machines
Create VM
PowerShell DSC and Custom Script Extension
Scale ARM VMS
VMSS
Monitoring VMs
Dev Test Labs
VM Storage

Design and implement Azure DevOps

CI/CD Pipelines
VSTS
Deployment in pass and VM’s
Scheduled deployments

Manage Azure Active Directory (AD)

Manage Identity, Application and Network Services
Overview of Azure Active Directory
Azure Active Directory B2C
Azure Active Directory B2B
Key Vault
Azure Graph API

Azure Virtual Networks and Network Security

Redis Caching
Azure search
Virtual Networks
Configure Virtual Network
Hybrid Network Connectivity
ARM VM Networking
Azure security and recovery services

Developing Solutions That Use Relational Database and Azure Blob Storage

Azure DB Services – SQL DB
Azure Notifications
Backup and Restore
Enabling Geo-Replication
Export source Database
Scale Azure SQL Databases

Developing Solutions That Use Azure Table Storage & Cosmos DB

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Azure Key Vault
Azure App Insights

Azure Command Line Interface (CLI) and PowerShell

Resource management and deployments using PowerShell and CLI
ARM templates
Implement ARM templates
Control Access
PowerShell runbooks
Azure Automation
Real Time Examples

Got a question for us? Please mention it in the comments section and we will get back to you.

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